HackerRank is a global leader in technical hiring, providing a robust platform that helps companies assess, interview, and hire engineering talent at scale. Founded in 2012, the company has grown to serve thousands of enterprises worldwide, offering a suite of coding challenges, assessments, and interview tools that are trusted by Fortune 500 firms. With a strong focus on innovation, HackerRank continuously expands its product portfolio into emerging areas such as AI‑driven assessment, automated code review, and intelligent interview agents, making it an exciting place for fresh talent who want to work at the intersection of software engineering and artificial intelligence. The AI Agent Engineer role is designed for recent graduates who are passionate about building production‑grade AI agents that can automate repetitive tasks, generate code, and assist hiring teams. You will work closely with product managers, data scientists, and senior engineers to design, develop, and ship end‑to‑end AI solutions that operate at scale. The position offers a blend of research‑oriented thinking and hands‑on engineering, allowing you to experiment with large language models, prompt engineering, and evaluation harnesses while ensuring the solutions are secure, maintainable, and production ready. Key responsibilities include: 1. Design and implement AI agents that can generate code snippets, evaluate candidate submissions, and provide actionable insights. 2. Build robust evaluation harnesses, define metrics such as precision, recall, latency, and cost, and set up automated regression detection pipelines. 3. Collaborate with non‑technical recruiting teams to discover automation opportunities, scope projects, and decide on MVP features. 4. Ensure AI‑generated outputs meet security standards, are free from bias, and adhere to coding best practices. 5. Conduct code reviews, write unit and integration tests, and maintain CI/CD pipelines for AI services. 6. Monitor production agents, analyze logs, and iterate on models to improve performance and reliability. 7. Document design decisions, API contracts, and operational runbooks for cross‑team consumption. 8. Stay updated with the latest research in LLMs, prompt engineering, and AI safety, and propose enhancements to the product roadmap. The tech stack revolves around Python, PyTorch/TensorFlow, FastAPI, Docker, Kubernetes, AWS/GCP services, and modern MLOps tools such as MLflow and DVC. As a fresher, you will receive mentorship from senior AI engineers, access to internal learning pathways, and a clear growth trajectory that can lead to senior AI engineer, AI product manager, or AI research specialist roles. Joining HackerRank means being part of a culture that values curiosity, rapid experimentation, and impact‑driven delivery, all while working from a vibrant Bengaluru office that encourages collaboration and continuous learning.